• DocumentCode
    267639
  • Title

    Cost recovery in a rolling horizon unit commitment with energy storage

  • Author

    Ting Qiu ; Haring, Tobias ; Kirschen, Daniel

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Electricity market designs have to cope with a growing share of renewable energy sources. Payments to the generators have to ensure not only revenue adequacy but also incentivize the provision of an optimal amount of flexibility. This paper investigates the effects on global welfare of the introduction of (a) inexpensive storage and (b) a rolling horizon market design that supports the use of updated information. Such an environment could adversely affect some generators which could suffer significant losses due to additional commitment costs and may therefore decide to retire some generating units. This paper makes two contributions: First, it assesses the impact on welfare of uncertainty, a rolling horizon unit commitment, and the inclusion of storage. Second, it proposes a pricing mechanism that guarantees the profitability of all scheduled generators while maximizing the consumers´ surplus and compares this mechanism with existing cost-recovery methods. Simulation results show that the proposed market design does not affect all the generators in the same manner but outperforms other methods in terms of efficiency. They also show that a shorter commitment horizon reduces the profitability of storage.
  • Keywords
    energy storage; power generation dispatch; power generation scheduling; power markets; pricing; profitability; renewable energy sources; cost recovery; electricity market design; energy storage; pricing mechanism; renewable energy source; rolling horizon unit commitment; scheduled generator profitability; Energy storage; Generators; Mathematical model; Optimization; Pricing; Uncertainty; Wind forecasting; Interval Optimization; Market Pricing; Rolling Horizon Unit Commitment; Storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Computation Conference (PSCC), 2014
  • Conference_Location
    Wroclaw
  • Type

    conf

  • DOI
    10.1109/PSCC.2014.7038451
  • Filename
    7038451